Salesforce Einstein and Einstein Analytics have footholds in sales, but these 15 #DF19 announcements add artificial intelligence use cases across the enterprise. Nearly half of companies now say that they're using some form of artificial intelligence, according to McKinsey research that Salesforce shared at Dreamforce 2019, yet seven out of ten companies report they're seeing little to no value from their AI projects so far. This gap exists, Salesforce executives asserted, because too many companies are struggling to overcome data-management and data-science technical hurdles, so they have yet to put AI into production at scale. Salesforce's alternative is Einstein and Einstein Analytics, both of which offer prebuilt, CRM-embedded predictions and recommendations along with the ability to build AI apps and answer company-specific business questions without coding or data science expertise. There's no question that AI is of interest to organizations and that the Einstein and Einstein Analytics promise of pre-built capabilities and declarative, no-code/low-code app and model development is compelling.

Provides tools to create and manipulate probability distributions using S3. Generics random(), pdf(), cdf(), and quantile() provide replacements for base R's r/d/p/q style functions. The documentation for each distribution contains detailed mathematical notes. There are several vignettes: Intro to hypothesis testing, One-sample sign tests, One-sample T confidence interval, One-sample T-tests, Z confidence interval for a mean, One-sample Z-tests for a proportion, One-sample Z-tests, Paired tests, and Two-sample Z-tests.

Robots will soon be everywhere – especially if ordinary objects can be turned into them. A computer program can now use 3D-printing to turn household objects into hand-activated robots. It can be used to turn on the water taps on a bathroom sink with the wave of a hand, or to give a window the ability to shut itself when the weather gets cold. Xiang'Anthony' Chen at the University of California in Los Angeles and colleagues developed the tool, known as Robiot, to automate simple physical tasks.

Fox News Flash top headlines for Nov. 26 are here. Check out what's clicking on Foxnews.com Boston Celtics star Gordon Hayward credited video games for helping him make progress rehabbing the broken hand he suffered earlier this month. Hayward, who is known for his gaming prowess off the court, said Sunday that playing video games helped "keep his fingers moving," according to The Athletic. The 29-year-old's love for video games was chronicled earlier this year in The Washington Post.

At the 2019 Supercomputing Conference in Denver, Colorado, global supercomputer leader Cray, a Hewlett Packard Enterprise company, announced that the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia has selected a Cray CS-Storm 500NX supercomputer to support innovation in the university and the nation through a strategic artificial intelligence (AI) initiative. The added power of the GPU-accelerated CS-Storm system provides KAUST researchers greater computational capabilities to drive positive and significant outcomes in the university's core research areas of global significance: food, water, energy, the environment, and digitalization. From helping to build smart cities to developing AI algorithms that think like scientists, KAUST is the largest research center in the Middle East that brings together faculty, researchers and graduate students to leverage the interconnectedness of science and engineering. With an 8:2 ratio of GPUs to CPUs, the new Cray CS-Storm 500NX supercomputer will meet KAUST's most demanding computing requirements for production scalability, while also delivering a low total cost of ownership. Engineered for the convergence of modeling, simulation and analytics, the CS-Storm fast-started KAUST's AI journey and provides researchers and scientists the highly-advanced supercomputing and software capabilities required to analyze large volumes of data for rapid insight, where simulation alone is unsatisfactory for predicting real-world outcomes.

Experts agree that we're headed toward a future where global leadership in artificial intelligence will translate into economic and military dominance. Unfortunately, authoritarian regimes, such as China, have inherent advantages in research and development. The training of A.I. systems requires data -- lots of it. Big data is the oil of the Digital Age and whoever has the most of it -- at the highest quality and at the lowest cost -- will have a comparative advantage. Assembling and using big data sets in developed countries, however, can be complicated, for privacy and legal reasons. For example, the European Union is considering rules giving each individual the right to control how their facial data can be used in facial recognition technology -- which will (probably) slow development.

Artificial intelligence (AI) has the potential to deliver significant social and economic benefits, including reducing accidental deaths and injuries, making new scientific discoveries, and increasing productivity.[1] However, an increasing number of activists, scholars, and pundits see AI as inherently risky, creating substantial negative impacts such as eliminating jobs, eroding personal liberties, and reducing human intelligence.[2] Some even see AI as dehumanizing, dystopian, and a threat to humanity.[3] As such, the world is dividing into two camps regarding AI: those who support the technology and those who oppose it. Unfortunately, the latter camp is increasingly dominating AI discussions, not just in the United States, but in many nations around the world. There should be no doubt that nations that tilt toward fear rather than optimism are more likely to put in place policies and practices that limit AI development and adoption, which will hurt their economic growth, social ...

According to a report from MarketsandMarkets, a global research firm, the Artificial Intelligence market is expected to reach USD 190 Billion by 2025, growing at a CAGR of 36% between 2018 and 2025. Aritificial Inteligence is also driving the market for semiconductor industry as AI chipsets has been the key enabler for this market. Processor, Memory and Network has to be ready for such a huge data analytics. MarketsandMarkets has identified ten major industries using different AI apllications where the market is expected to have a major impact for 2019 and beyond. The AI market for healthcare is used in various applications, such as patient data & risk analysis, medical imaging & diagnostics, precision medicine, lifestyle management & monitoring, drug discovery, inpatient care & hospital management, virtual assistant, wearables, and research.

When the scholar James Spedding analysed the authorship of Shakespeare's Henry VIII in 1850, he pored over the details of the text and eventually attributed the play not only to the Bard, but to his successor at the King's Men theatre company, John Fletcher. Now 169 years later, an academic has used artificial intelligence to back up Spedding's theory and pin down exactly who wrote what. Petr Plechac from the Czech Academy of Sciences in Prague trained an algorithm on scenes from Shakespeare's later plays Coriolanus, Cymbeline, The Winter's Tale and The Tempest, and on Fletcher's Valentinian, Monsieur Thomas, The Woman's Prize and Bonduca. He also ran a selection of scenes from works by Philip Massinger, Fletcher's successor at the King's Men and another possible candidate for authorship of Henry VIII, through the algorithm. Plechac then showed the algorithm Henry VIII.

HULMAN FIELD AIR NATIONAL GUARD BASE, Ind. -- New systems in the development of artificial intelligence (AI) technology for domestic response were tested by managers of the Johns Hopkins Applied Physics Lab (JHU-APL) and the Joint Artificial Intelligence Center's (JAIC) Humanitarian Assistance Disaster Relief (HADR) program. The testing took place Nov. 2 at an Indiana Unclassified Processing, Assessment and Dissemination (UPAD) site at the 181st Intelligence Wing. Intelligence Analysts assigned to the Indiana Air National Guard's 181st Intelligence Wing, 137th Intelligence Squadron UPAD, were chosen to assist in new developmental programs expected to be launched in the next year. This was the first time any of these programs or systems were tested by a UPAD site and UPAD analysts. "The AI technology uses commercial satellite static imagery, National Oceanic and Atmospheric Administration (NOAA) imagery, and MQ-9 full-motion video (FMV). Utilization of Synthetic Aperture Radar (SAR) imagery is in the works as well," said Tech. "The four lines of effort include route analysis, damage assessment, flood water detection, and fire perimeter analysis," he said.